• 제목/요약/키워드: Model-Based Testing

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VFD(Vacuum Fluorescent Display) 가속열화시험 응용사례 (Application of Accelerated Degradation Testing for VFD (Vacuum Fluorescent Display))

  • 배석주
    • 한국신뢰성학회지:신뢰성응용연구
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    • 제5권4호
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    • pp.413-425
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    • 2005
  • As an alternative to traditional life testing, degradation tests can be effective in assessing product reliability when measurements of degradation leading to failure can be observed. This article presents an accelerated degradation testing for vacuum fluorescent displays (VFDs). The accelerated degradation model is based on Arrhenius-lifetime relationship for cathode temperatures. We compare the results between accelerated degradation test and test at normal use condition. Accelerated degradation test for display devices is observed as an efficient method to warrantee product reliability to customers, as well as a tool to save time and costs.

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Experimental characterization of a smart material via DIC

  • Casciati, Sara;Bortoluzzi, Daniele;Faravelli, Lucia;Rosadini, Luca
    • Smart Structures and Systems
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    • 제30권3호
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    • pp.255-261
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    • 2022
  • When no extensometer is available in a generic tensile-compression test carried out by a universal testing machine (for instance the model BIONIX from Material Testing Systems (MTS)), the test results only provide the relative displacement between the machine grips. The test does not provide any information on the local behaviour of the material. This contribution presents the potential of an application of Digital Image Correlation (DIC) toward the reconstruction of the behaviour along the specimen. In particular, the authors test a Ni-Ti shape memory alloys (SMA) specimen with emphasis on the coupling of the two measurement techniques.

분산제어 기반 직류 마이크로그리드 전력관리시스템의 HIL 시뮬레이션 적용 연구 (Development of Hardware In-the-Loop Simulation System for Testing Power Management of DC Microgrids Based on Decentralized Control)

  • 투딘두;리덕중;이동춘
    • 전력전자학회논문지
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    • 제24권3호
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    • pp.191-200
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    • 2019
  • This study proposes a hardware-in-the-loop simulation (HILS) system based on National Instruments' PXI platform to test power management and operation strategies for DC microgrids (MGs). The HILS system is developed based on the controller HIL prototype, which involves testing the controller board in hardware with a real-time simulation model of the plant in a real-time digital simulator. The system provides an economical and effective testing function for research on MG systems. The decentralized power management strategy based on the DC bus signaling method for DC MGs has been developed and implemented on the HILS platform. HILS results are determined to be similar to those of the off-line simulation in PSIM software.

위상배열 탐상검사법을 이용한 풍력발전용 블레이드의 일정가압 메커니즘 신뢰성 평가 (Reliability Evaluation of Constant Pressure Mechanism on Phased Array Ultrasonic Testing for Wind Turbine Blade)

  • 남문호;지수정;임선;임승환;정예찬
    • 한국신뢰성학회지:신뢰성응용연구
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    • 제17권3호
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    • pp.236-245
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    • 2017
  • Purpose: There is no established inspection system for composite wind blade during the fabrication stage even though the blades are one of the most important part at wind generation system, but phased array ultrasonic testing method has been continuously studied about wind turbine blade with composite. When wind turbine blade with complex shape by phased array probe is inspected, it is necessary to study for system keeping constant pressure using pressure device. Methods: In this paper, we propose constant pressure device for inspecting wind turbine blade by phased array ultrasonic test method. Design of the device controller is based on Hunt-Crossley model. We evaluate reliability of phased array ultrasonic inspection result that applicated constant pressure device. Result: Defect indication is precise and its error is small when constant pressure mechanism based on Hunt-Crossley model was used. Conclusion: When inspection is progressed using constant pressure mechanism, the reliability of composite wind blade inspection can be improved.

Experimental research on design wind loads of a large air-cooling structure

  • Yazhou, Xu;Qianqian, Ren;Guoliang, Bai;Hongxing, Li
    • Wind and Structures
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    • 제28권4호
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    • pp.215-224
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    • 2019
  • Because of the particularity and complexity of direct air-cooling structures (ACS), wind parameters given in the general load codes are not suitable for the wind-resistant design. In order to investigate the wind loads of ACS, two 1/150 scaled three-span models were designed and fabricated, corresponding to a rigid model and an aero-elastic model, and wind tunnel tests were then carried out. The model used for testing the wind pressure distribution of the ACS was defined as the rigid model in this paper, and the stiffness of which was higher than that of the aero-elastic model. By testing the rigid model, the wind pressure distribution of the ACS model was studied, the shape coefficients of "A" shaped frame and windbreak walls, and the gust factor of the windbreak walls were determined. Through testing the aero-elastic model, the wind-induced dynamic responses of the ACS model was studied, and the wind vibration coefficients of ACS were determined based on the experimental displacement responses. The factors including wind direction angle and rotation of fan were taken into account in this test. The results indicated that the influence of running fans could be ignored in the structural design of ACS, and the wind direction angle had a certain effect on the parameters. Moreover, the shielding effect of windbreak walls induced that wind loads of the "A" shaped frame were all suction. Subsequently, based on the design formula of wind loads in accordance with the Chinese load code, the corresponding parameters were presented as a reference for wind-resistant design and wind load calculation of air-cooling structures.

Development and validation of a numerical model for steel roof cladding subject to static uplift loads

  • Lovisa, Amy C.;Wang, Vincent Z.;Henderson, David J.;Ginger, John D.
    • Wind and Structures
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    • 제17권5호
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    • pp.495-513
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    • 2013
  • Thin, high-strength steel roof cladding is widely used in residential and industrial low-rise buildings and is susceptible to failure during severe wind storms such as cyclones. Current cladding design is heavily reliant on experimental testing for the determination of roof cladding performance. Further study is necessary to evolve current design standards, and numerical modelling of roof cladding can provide an efficient and cost effective means of studying the response of cladding in great detail. This paper details the development of a numerical model that can simulate the static response of corrugated roof cladding. Finite element analysis (FEA) was utilised to determine the response of corrugated cladding subject to a static wind pressure, which included the anisotropic material properties and strain-hardening characteristics of the thin steel roof cladding. The model was then validated by comparing the numerical data with corresponding experimental test results. Based on this comparison, the model was found to successfully predict the fastener reaction, deflection and the characteristics in deformed shape of the cladding. The validated numerical model was then used to predict the response of the cladding subject to a design cyclone pressure trace, excluding fatigue effects, to demonstrate the potential of the model to investigate more complicated loading circumstances.

Construction of a Ginsenoside Content-predicting Model based on Hyperspectral Imaging

  • Ning, Xiao Feng;Gong, Yuan Juan;Chen, Yong Liang;Li, Hongbo
    • Journal of Biosystems Engineering
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    • 제43권4호
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    • pp.369-378
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    • 2018
  • Purpose: The aim of this study was to construct a saponin content-predicting model using shortwave infrared imaging spectroscopy. Methods: The experiment used a shortwave imaging spectrometer and ENVI spectral acquisition software sampling a spectrum of 910 nm-2500 nm. The corresponding preprocessing and mathematical modeling analysis was performed by Unscrambler 9.7 software to establish a ginsenoside nondestructive spectral testing prediction model. Results: The optimal preprocessing method was determined to be a standard normal variable transformation combined with the second-order differential method. The coefficient of determination, $R^2$, of the mathematical model established by the partial least squares method was found to be 0.9999, while the root mean squared error of prediction, RMSEP, was found to be 0.0043, and root mean squared error of calibration, RMSEC, was 0.0041. The residuals of the majority of the samples used for the prediction were between ${\pm}1$. Conclusion: The experiment showed that the predicted model featured a high correlation with real values and a good prediction result, such that this technique can be appropriately applied for the nondestructive testing of ginseng quality.

Nondestructive Evaluation of Railway Bridge by System Identification Using Field Vibration Measurement

  • Ho, Duc-Duy;Hong, Dong-Soo;Kim, Jeong-Tae
    • 비파괴검사학회지
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    • 제30권6호
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    • pp.527-538
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    • 2010
  • This paper presents a nondestructive evaluation approach for system identification (SID) of real railway bridges using field vibration test results. First, a multi-phase SID scheme designed on the basis of eigenvalue sensitivity concept is presented. Next, the proposed multi-phase approach is evaluated from field vibration tests on a real railway bridge (Wondongcheon bridge) located in Yangsan, Korea. On the steel girder bridge, a few natural frequencies and mode shapes are experimentally measured under the ambient vibration condition. The corresponding modal parameters are numerically calculated from a three-dimensional finite element (FE) model established for the target bridge. Eigenvalue sensitivities are analyzed for potential model-updating parameters of the FE model. Then, structural subsystems are identified phase-by-phase using the proposed model-updating procedure. Based on model-updating results, a baseline model and a nondestructive evaluation of test bridge are identified.

Automotive SPICE를 위한 행위 모델 기반의 테스트 케이스 생성 기법 (A Method of Test Case Generation Based on Behavioral Model for Automotive SPICE)

  • 김충석;양재수;박용범
    • 반도체디스플레이기술학회지
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    • 제16권3호
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    • pp.71-77
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    • 2017
  • As the automobile industry has shifted to software, the Automotive SPICE standard has been established to ensure efficient product development process and quality. In the assessment model, the HIS Scope is the minimum standard for small and medium automotive electric companies to meet OEM requirements. However, in order to achieve the HIS Scope, the output of each process stage that meets the verification criteria of Automotive SPICE must be created. In particular, the test phase takes a lot of resources, which is a big burden for small and medium-sized companies. In this paper, we propose a methodology for creating test cases of software integration test phase based on UML sequence diagram, which is a software design phase of Automotive SPICE HIS Scope, by applying behavior model based testing method. We also propose a tool chain for automating the creation process. This will reduce the resources required to create a test case.

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FUZZY IDENTIFICATION BY MEANS OF AUTO-TUNING ALGORITHM AND WEIGHTING FACTOR

  • Park, Chun-Seong;Oh, Sung-Kwun;Ahn, Tae-Chon;Pedrycz, Witold
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 1998년도 The Third Asian Fuzzy Systems Symposium
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    • pp.701-706
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    • 1998
  • A design method of rule -based fuzzy modeling is presented for the model identification of complex and nonlinear systems. The proposed rule-based fuzzy modeling implements system structure and parameter identification in the efficient form of " IF..., THEN,," statements. using the theories of optimization and linguistic fuzzy implication rules. The improved complex method, which is a powerful auto-tuning algorithm, is used for tuning of parameters of the premise membership functions in consideration of the overall structure of fuzzy rules. The optimized objective function, including the weighting factors, is auto-tuned for better performance of fuzzy model using training data and testing data. According to the adjustment of each weighting factor of training and testing data, we can construct the optimal fuzzy model from the objective function. The least square method is utilized for the identification of optimum consequence parameters. Gas furance and a sewage treatment proce s are used to evaluate the performance of the proposed rule-based fuzzy modeling.

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